title: Maximum likelihood method for calibration of Mueller polarimeters in reflection configuration.
abstract: We address calibration of Mueller polarimeters in the presence of noise. We compare an extension of the eigenvalue calibration method (ECM) and a maximum likelihood (ML) method. The performances of these two calibration methods are investigated with numerical simulations and real experiments on a broadband infrared polarimeter. It is found that the ML method is superior to the extended ECM in terms of calibration precision and can be used at lower signal-to-noise ratio.
authors.forename: Haofeng
authors.initials: H
authors.lastname: Hu
authors.forename: Enric
authors.initials: E
authors.lastname: Garcia-Caurel
authors.forename: Guillaume
authors.initials: G
authors.lastname: Anna
authors.forename: François
authors.initials: F
authors.lastname: Goudail
mesh_terms: D000465:Algorithms; D002138:Calibration; D003627:Data Interpretation, Statistical; D016013:Likelihood Functions; D010783:Photometry / Q000295:instrumentation* / Q000592:standards*; D012031:Refractometry / Q000295:instrumentation* / Q000592:standards*